Mindbreeze, a leading provider of knowledge management and information analytics solutions, enables customers to confidently leverage generative AI innovations for sensitive business data. Large language models (LLMs, Large Language Model) technologies, combined with Mindbreeze InSpire, provide world-class customer experiences in natural language processing, text generation, and data security.
“Generative artificial intelligence (GenAI) and tools like ChatGPT have invaded the world,” explains Daniel Fallmann, founder and CEO of Mindbreeze. “But to be able to use these technologies in the company in a professional way it is necessary to overcome numerous difficulties, such as data hallucinations, lack of information security, permissions, critical intellectual property issues, high costs of training and implementation technique with confidential company data. Mindbreeze InSpire solves these problems to form the optimal foundation for transforming generative AI into the ideal solution for use in enterprises.”
Unlike applications like ChatGPT, where it is usually not possible to trace the origin of the data, Mindbreeze InSpire uses already existing company information as a basis for machine learning, to ensure that the data used to train the models always belongs to the affected company and do not pour into a public template. The contents, both existing and generated, are always safe, correct, reliable and above all traceable. Since the solution includes the source in the answer, users can validate the answers at any time if needed.
Mindbreeze InSpire provides users with intelligent, informed and personalized answers to empower companies to use AI in a safe, responsible and sustainable way.
Mindbreeze allows clients to select their preferred Large Language Model (LLM). The Mindbreeze InSpire information search engine comes with pre templatesdefiniti; Using transformative templates and open standards, it's easy to take advantage of community templates like Huggingface. Mindbreeze also offers clients expert support in choosing an appropriate LLM and related use cases.
“What makes Mindbreeze unique in this arena is that the models run both in the cloud and on our onsite devices. Clients have total freedom of choice in choosing their LLM and where the data processing will take place,” explains Jakob Praher, CTO of Mindbreeze. “The many years of experience in the extremely scalable processing of huge volumes of data allow us to propose customized hardware and software solutions”.
For years, Mindbreeze has offered a complete hybrid approach that resolves critical dependencies allowing you to take advantage of all the features of Mindbreeze InSpire on-premises and in the cloud.
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